NDLI: Experimental High-resolution Wsr-88 D Measurements in Severe Storms

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Experimental High-resolution Wsr-88 D Measurements in Severe Storms

Content Provider	Semantic Scholar
Author	Brown, Rodger A. Flickinger, Bradley A. Forren, Eddie Schultz, David Spencer, Phillip L. Wood, Vincent T. Ziegler, Conrad L.
Copyright Year	2003
Abstract	Through use of Doppler velocity simulations, Wood et al. (2001) and Brown et al. (2002) have shown that stronger Doppler velocity signatures of mesocyclones and tornadoes, respectively, can be obtained when WSR-88D (Weather Surveillance Radar–1988 Doppler) measurements are made at azimuthal sampling intervals of 0.5 instead of the current intervals of 1.0. In addition, for signatures exceeding a particular Doppler velocity threshold, the signatures are detectable 50% farther in range using 0.5 azimuthal sampling. To help substantiate the simulation results, the National Severe Storms Laboratory’s (NSSL) testbed WSR-88D radar (KOUN) collected highresolution data in severe thunderstorms during Spring 2003. The procedure was to record base data (reflectivity, mean Doppler velocity, spectrum width) at 0.5 azimuthal resolution and at full range resolution of 0.25 km. Then a recombination algorithm (e.g., Curtis et al. 2003) was used to produce the lower-resolution data (1.0, 1 km for reflectivity and 1.0, 0.25 km for Doppler velocity and spectrum width) that are currently recorded and displayed by WSR-88Ds. In this paper, we present comparisons of Doppler velocity signatures and reflectivity fields for high-resolution and current-resolution data fields. The fields were displayed using NSSL’s Warning Decision Support System II (WDSS II) display system. Results show that highresolution data produce mesocyclone signatures that typically are up to 15–20% stronger and reflectivity signatures that reveal otherwise poorly resolved or unresolved details.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.cimms.ou.edu/~schultz/papers/brownetal04-IIPS.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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